Jiahang Cao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
10
Active years
2022–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Networks. | Ziqing Wang, Yuetong Fang, Jiahang Cao, Hongwei Ren, Renjing Xu |
| 2025 | CVPR | Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models. | Hao Cheng, Erjia Xiao, Jiayan Yang, Jiahang Cao, Qiang Zhang, Jize Zhang, Kaidi Xu, Jindong Gu, Renjing Xu |
| 2025 | ICASSP | Fully Spiking Neural Network for Legged Robots. | Xiaoyang Jiang, Qiang Zhang, Jingkai Sun, Jiahang Cao, Jingtong Ma, Renjing Xu |
| 2025 | ICASSP | Event Masked Autoencoder: Point-wise Action Recognition with Event-Based Cameras. | Jingkai Sun, Qiang Zhang, Jiaxu Wang, Jiahang Cao, Hao Cheng, Renjing Xu |
| 2025 | ICRA | World Model-Based Perception for Visual Legged Locomotion. | Hang Lai, Jiahang Cao, Jiafeng Xu, Hongtao Wu, Yunfeng Lin, Tao Kong, Yong Yu, Weinan Zhang |
| 2025 | IROS | Mamba Policy: Towards Efficient 3D Diffusion Policy with Hybrid Selective State Models. | Jiahang Cao, Qiang Zhang, Jingkai Sun, Jiaxu Wang, Hao Cheng, Yulin Li, Jun Ma, Kun Wu, Zhiyuan Xu, Yecheng Shao, Wen Zhao, Gang Han, Yijie Guo, Renjing Xu |
| 2025 | IROS | RoboDexVLM: Visual Language Model-Enabled Task Planning and Motion Control for Dexterous Robot Manipulation. | Haichao Liu, Sikai Guo, Pengfei Mai, Jiahang Cao, Haoang Li, Jun Ma |
| 2025 | IROS | LoopSR: Looping Sim-and-Real for Lifelong Policy Adaptation of Legged Robots. | Peilin Wu, Weiji Xie, Jiahang Cao, Hang Lai, Weinan Zhang |
| 2025 | IROS | Distillation-PPO: A Novel Two-Stage Reinforcement Learning Framework for Humanoid Robot Perceptive Locomotion. | Qiang Zhang, Gang Han, Jingkai Sun, Wen Zhao, Chenghao Sun, Jiahang Cao, Jiaxu Wang, Yijie Guo, Renjing Xu |
| 2024 | ECCV | Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models. | Hao Cheng, Erjia Xiao, Jindong Gu, Le Yang, Jinhao Duan, Jize Zhang, Jiahang Cao, Kaidi Xu, Renjing Xu |
| 2024 | ECCV | Spiking Wavelet Transformer. | Yuetong Fang, Ziqing Wang, Lingfeng Zhang, Jiahang Cao, Honglei Chen, Renjing Xu |
| 2024 | ICRA | Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event Camera. | Jiahang Cao, Xu Zheng, Yuanhuiyi Lyu, Jiaxu Wang, Renjing Xu, Lin Wang |
| 2024 | IROS | Gaining the Sparse Rewards by Exploring Lottery Tickets in Spiking Neural Networks. | Hao Cheng, Jiahang Cao, Erjia Xiao, Mengshu Sun, Renjing Xu |
| 2024 | IROS | Reinforcement Learning with Generalizable Gaussian Splatting. | Jiaxu Wang, Qiang Zhang, Jingkai Sun, Jiahang Cao, Gang Han, Wen Zhao, Weining Zhang, Yecheng Shao, Yijie Guo, Renjing Xu |
| 2024 | WACV | Spiking Denoising Diffusion Probabilistic Models. | Jiahang Cao, Ziqing Wang, Hanzhong Guo, Hao Cheng, Qiang Zhang, Renjing Xu |
| 2023 | BMVC | RBFormer: Improve Adversarial Robustness of Transformers by Robust Bias. | Hao Cheng, Jinhao Duan, Hui Li, Jiahang Cao, Ping Wang, Lyutianyang Zhang, Jize Zhang, Kaidi Xu, Renjing Xu |
| 2023 | ICCV | Masked Spiking Transformer. | Ziqing Wang, Yuetong Fang, Jiahang Cao, Qiang Zhang, Zhongrui Wang, Renjing Xu |
| 2022 | KDD | Retrieval-Based Gradient Boosting Decision Trees for Disease Risk Assessment. | Handong Ma, Jiahang Cao, Yuchen Fang, Weinan Zhang, Wenbo Sheng, Shaodian Zhang, Yong Yu |